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r / packages / r-simdistr

Assessment of the distributions of baseline continuous and categorical variables in randomised trials. This method is based on the Carlisle-Stouffer method with Monte Carlo simulations. It calculates p-values for each trial baseline variable, as well as combined p-values for each trial - these p-values measure how compatible are distributions of trials baseline variables with random sampling. This package also allows for graphically plotting the cumulative frequencies of computed p-values. Please note that code was partly adapted from Carlisle JB, Loadsman JA. (2017) <doi:10.1111/anae.13650>.

Type Size Name Uploaded Downloads Labels
conda 35.2 kB | noarch/r-simdistr-1.0.1-r43h142f84f_0.tar.bz2  1 year and 2 months ago 22 main
conda 34.6 kB | noarch/r-simdistr-1.0.1-r42h142f84f_0.tar.bz2  2 years and 9 months ago 49 main
conda 34.7 kB | noarch/r-simdistr-1.0.1-r36h6115d3f_0.tar.bz2  5 years and 24 days ago 125 main

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